Xiaohui Xie
Affiliations: | Harvard University, Cambridge, MA, United States |
Area:
genomics, bioinformatics, computational neuroscienceGoogle:
"Xiaohui Xie"Mean distance: 15.18 (cluster 17) | S | N | B | C | P |
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Publications
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| Quang D, Xie X. (2019) FactorNet: a deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential data. Methods (San Diego, Calif.) |
| Newkirk DA, Chen YY, Chien R, et al. (2017) The effect of Nipped-B-like (Nipbl) haploinsufficiency on genome-wide cohesin binding and target gene expression: modeling Cornelia de Lange syndrome. Clinical Epigenetics. 9: 89 |
| Charney RM, Forouzmand E, Cho JS, et al. (2017) Foxh1 Occupies cis-Regulatory Modules Prior to Dynamic Transcription Factor Interactions Controlling the Mesendoderm Gene Program. Developmental Cell |
| Forouzmand E, Owens ND, Blitz IL, et al. (2016) Developmentally regulated long non-coding RNAs in Xenopus tropicalis. Developmental Biology |
| Quang D, Xie X. (2016) DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences. Nucleic Acids Research |
| Chen Y, Li Y, Narayan R, et al. (2016) Gene expression inference with deep learning. Bioinformatics (Oxford, England) |
| Li Y, Xie X. (2015) MixClone: a mixture model for inferring tumor subclonal populations. Bmc Genomics. 16: S1 |
| Quang D, Chen Y, Xie X. (2015) DANN: a deep learning approach for annotating the pathogenicity of genetic variants. Bioinformatics (Oxford, England). 31: 761-3 |
| Kim I, Xie X. (2015) Handwritten Hangul recognition using deep convolutional neural networks International Journal On Document Analysis and Recognition. 18: 1-13 |
| Chiu WT, Charney Le R, Blitz IL, et al. (2014) Genome-wide view of TGFβ/Foxh1 regulation of the early mesendoderm program. Development (Cambridge, England). 141: 4537-47 |